Product decomposition of periodic functions in quantum signal processing
Abstract
In some embodiments, one or more unitary-valued functions are generated by a classical computer generating using projectors with a predetermined number of significant bits. A quantum computing device is then configured to implement the one or more unitary-valued functions. In further embodiments, a quantum circuit description for implementing quantum signal processing that decomposes complex-valued periodic functions is generated by a classical computer, wherein the generating further includes representing approximate polynomials in a Fourier series with rational coefficients. A quantum computing device is then configured to implement a quantum circuit defined by the quantum circuit description.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1. A method, comprising:
by a classical computer, generating one or more unitary-valued functions using projectors with a predetermined number of significant bits; and
configuring a quantum computing device to implement the one or more unitary-valued functions.
2. The method of claim 1 , wherein the unitary-valued functions are iteratively decomposed.
3. A system, comprising:
a quantum computing device; and
a classical computing device in communication with the quantum computing device and adapted to perform the method of claim 1 .
4. A method, comprising:
by a classical computer, generating one or more unitary-valued functions using projectors with a predetermined number of significant bits; and
configuring a quantum computing device to implement the one or more unitary-valued functions, wherein the unitary-valued functions are applied to implement a Hamiltonian simulation.
5. A method, comprising:
by a classical computer, generating one or more unitary-valued functions using projectors with a predetermined number of significant bits; and
configuring a quantum computing device to implement the one or more unitary-valued functions, wherein the unitary-valued functions are applied to solve a linear equation.
6. A method, comprising:
by a classical computer, generating a quantum circuit description for implementing quantum signal processing that decomposes complex-valued periodic functions, wherein the generating further includes representing approximate polynomials in a Fourier series with rational coefficients; and
configuring a quantum computing device to implement a quantum circuit defined by the quantum circuit description.
7. The method of claim 6 , wherein the Fourier series with rational coefficients decreases numerical instability in the computation of decomposition.
8. The method of claim 6 , wherein the quantum circuit description is configured to perform a Hamiltonian simulation.
9. The method of claim 6 , wherein the quantum circuit description is configured to solve a linear equation.
10. A method, comprising:
by a classical computer, generating a quantum circuit description for implementing quantum signal processing that decomposes complex-valued periodic functions, wherein the generating further includes truncating terms in approximation polynomials with coefficients determined by a preset accuracy parameter; and
configuring a quantum computing device to implement a quantum circuit defined by the quantum circuit description.
11. The method of claim 10 , wherein the truncating decreases numerical instability in the computation of decomposition.
12. The method of claim 10 , wherein the quantum circuit description is configured to perform a Hamiltonian simulation.
13. The method of claim 10 , wherein the quantum circuit description is configured to solve a linear equation.
14. A method, comprising:
by a classical computer, generating a quantum circuit description for implementing quantum signal processing that decomposes complex-valued periodic functions, wherein the generating further includes expanding factorized polynomial using discrete fast Fourier transforms; and
configuring a quantum computing device to implement a quantum circuit defined by the quantum circuit description.
15. The method of claim 14 , wherein the expanding decreases numerical instability in the computation of decomposition.
16. The method of claim 14 , wherein the quantum circuit description is configured to perform a Hamiltonian simulation.
17. The method of claim 14 , wherein the quantum circuit description is configured solve a linear equation.
18. A method, comprising:
by a classical computer, generating a quantum circuit description for implementing quantum signal processing that decomposes complex-valued periodic functions, wherein the generating further includes determining complementary polynomials by finding roots of Laurent polynomials to a preset accuracy; and
configuring a quantum computing device to implement a quantum circuit defined by the quantum circuit description.
19. The method of claim 18 , wherein the quantum circuit description is configured to perform a Hamiltonian simulation.
20. The method of claim 18 , wherein the quantum circuit description is configured solve a linear equation.Cited by (0)
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